Articles

Servitisation: Benefits And Best Practices

Servitisation is a complex-sounding word that encapsulates a simple idea: shifting from a reliance on products as a driver for economic growth, to an emphasis on delivering services that complement a particular product, and give the consumer a more rounded package. So instead of focussing on selling new products, servitisation concentrates on giving the consumer the outcome that they would associate with a product — in terms of what it can do, how its top level of performance can be sustained, and through the addition of value adding features or services that expand upon this performance in various ways. Why

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Why The Future Of Smart Connected Things Is Tiny Machine Learning

  by Gustav Evertsson, Vinnter AB Tiny machine learning or TinyML is altering the shape and nature of the machine learning landscape. During the last two decades we have seen a boom in machine learning like never before. As a technology, machine learning is actually much older than that. Recently however, some major research projects like Long short-term memory networks, ImageNet, and the introduction of GPUs have made machine learning a feasible option for many problems. Faster internet connections and larger and larger memory devices (both for storage and ram) have also been making the data needed to train machine

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What Does The Current Gartner Hype Curve Tell Us?

For the IT industry, the Gartner Hype Curve provides a graphical representation of the maturity and adoption of various technologies and applications. The analysis accompanying Gartner Hype Cycles also gives an indication of how potentially relevant these solutions are to resolving real life business problems, and the opportunities that they can provide to businesses, for expanding or improving their operations, and gaining a competitive edge. As with all kinds of analysis however, it’s important for anyone reading and interpreting the data to appreciate the underlying principles guiding the research, and to understand the full implications of all the observations that

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Do We Want Yet Another App For Home Automation?

(Image source: Statista.com) Globally, revenue in the smart home market currently amounts to US$84,637 million, according to Statista.com. This figure is expected to show a compound annual growth rate (CAGR ) of 18.2% in the next three years, resulting in a market volume of US$139,808 million by 2023. According to research by PreciseSecurity.com, global smart home market revenue is expected to reach a value of $158 billion in the next four years. Smart appliances generate the most significant share of the overall market income. Global consumers are expected to spend $21.5 billion this year on devices which they can connect

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The Evolution of Micro Processing Units (MPUs)

Microprocessors or micro processing units (MPUs) are nothing short of amazing. By integrating the complete computation engine onto one electronic component, the computing power that once required a room full of equipment can now be fabricated on a single chip, usually about the size of a fingernail, though can indeed be much smaller still. Serving as the central processing unit (CPU) in computers, microprocessors contain thousands of electronic components and use a collection of machine instructions to perform mathematical operations and move data from one memory location to another. They contain an address bus that sends addresses to memory, read

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The Value of Robotic Automation Lies in Reskilling the Workforce

The first robot entered the workplace in 1959, at an automotive die casting plant in Trenton New Jersey. Since then, many other industries such as electrical/electronics, rubber and plastics, pharma, cosmetics, food and beverage, and the metal and machinery industry have accelerated their adoption of robotic automation. By 2017, there were over two million operational robots across the world, with the number projected to almost double to 3.8 million units by 2021. Today, global robot density (number of robot units per 10,000 employees) in manufacturing industries stands at 74, up from 66 units in 2015.  The Economic Impact of Robots

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Using design thinking when developing IoT solutions

A McKinsey analysis of over 150 use cases estimated that IoT could have an annual economic impact in the $3.9 trillion to $11.1 trillion range by 2025. At the top end, that’s a value equivalent to 11% of the global economy. We believe using design thinking when developing IoT solutions will help us reach financial targets. It is not that difficult to envisage that degree of value-add given the continually evolving technical and strategic potential of IoT; there are new standards, components, platforms, protocols, etc. emerging almost daily. It is now possible to combine these options in seemingly endless ways, to

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